AutoDash 📊

AutoDash is an innovative tool that automatically generates interactive Streamlit dashboards from tabular data using AI-powered code generation. With AutoDash, you can transform your CSV files into beautiful, functional dashboards with just a few clicks.

Check out our Demo on how to use AutoDash (click the image below to be redirected to the video):

🚀 Features

• AI-Powered Dashboard Generation: Utilizes advanced AI models (Claude and OpenAI) to create custom Streamlit dashboard code.
• One-Click GitHub Integration: Easily create a new GitHub repository with your dashboard code.
• Download Option: Download your dashboard as a structured project, ready to run.

🏗️ Project Structure

1. Backend: Contains the API and core logic for dashboard generation.
2. Frontend: Contains the user interface.

📦 Tech Overview

• Backend: MVC architecture, made using FastAPI, SQLAlchemy, Pydantic.
• Frontend: Vue, Nuxt, Tailwind CSS.
• AI Models: Claude, OpenAI.

🛠️ Installation

Backend Setup

1. Clone the repository:

   git clone https://github.com/luucaslfs/AutoDash.git
   cd AutoDash
   

2. Install dependencies:

   cd API
   pip install -r requirements.txt
   

3. Set up environment variables: Create a .env file in the root directory with the following variables:

   DATABASE_URL=your_database_url
   GITHUB_CLIENT_ID=your_github_client_id
   GITHUB_CLIENT_SECRET=your_github_client_secret
   CLAUDE_API_KEY=your_claude_api_key
   OPENAI_API_KEY=your_openai_api_key
   

Frontend Setup

1. Clone the repository:

   git clone https://github.com/luucaslfs/AutoDash.git
   cd AutoDash
   

2. Install dependencies:

   cd autodash-front
   npm install
   

🖥️ Usage

1. Start the backend server:

   cd API
   uvicorn app.main:app --reload
   

2. In a new terminal, start the frontend development server:

   cd autodash-front
   npm run dev
   

3. Open your browser and navigate to http://localhost:3000.

4. Upload your CSV or Excel file, choose an AI model, and click "Generate Dashboard".

5. Review the generated code, make any necessary edits, and either download the project or create a GitHub repository.

🤝 Contributing

We welcome contributions to both the backend and frontend of AutoDash!

📄 License

AutoDash is released under the MIT License. See the LICENSE file for more details.

🙏 Acknowledgements

• Streamlit for making it easy to create beautiful data apps.
• OpenAI and Anthropic for their powerful AI models.

📞 Support

If you encounter any issues or have questions:

• For backend issues, please open an issue on our backend GitHub repository.
• For frontend issues, please open an issue on our frontend GitHub repository.

🎥 Demo

Check out our video tutorial on how to use AutoDash:

• YouTube Link

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Made with ❤️ by [Lucas Florencio]